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Cost‐Effectiveness of Monitoring Patients Post‐Stroke With Mobile ECG During the Hospital Stay

BACKGROUND: The effectiveness of a nurse‐led in‐hospital monitoring protocol with mobile ECG (iECG) was investigated for detecting atrial fibrillation in patients post‐ischemic stroke or post‐transient ischemic attack. The study aimed to assess the cost‐effectiveness of using iECG during the initial...

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Autores principales: Gao, Lan, Moodie, Marj, Freedman, Ben, Lam, Christina, Tu, Hans, Swift, Corey, Ma, Sze‐Ho, Mok, Vincent C. T., Sui, Yi, Sharpe, David, Ghia, Darshan, Jannes, Jim, Davis, Stephen, Liu, Xinfeng, Yan, Bernard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238470/
https://www.ncbi.nlm.nih.gov/pubmed/35411782
http://dx.doi.org/10.1161/JAHA.121.022735
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author Gao, Lan
Moodie, Marj
Freedman, Ben
Lam, Christina
Tu, Hans
Swift, Corey
Ma, Sze‐Ho
Mok, Vincent C. T.
Sui, Yi
Sharpe, David
Ghia, Darshan
Jannes, Jim
Davis, Stephen
Liu, Xinfeng
Yan, Bernard
author_facet Gao, Lan
Moodie, Marj
Freedman, Ben
Lam, Christina
Tu, Hans
Swift, Corey
Ma, Sze‐Ho
Mok, Vincent C. T.
Sui, Yi
Sharpe, David
Ghia, Darshan
Jannes, Jim
Davis, Stephen
Liu, Xinfeng
Yan, Bernard
author_sort Gao, Lan
collection PubMed
description BACKGROUND: The effectiveness of a nurse‐led in‐hospital monitoring protocol with mobile ECG (iECG) was investigated for detecting atrial fibrillation in patients post‐ischemic stroke or post‐transient ischemic attack. The study aimed to assess the cost‐effectiveness of using iECG during the initial hospital stay compared with standard 24‐hour Holter monitoring. METHODS AND RESULTS: A Markov microsimulation model was constructed to simulate the lifetime health outcomes and costs. The rate of atrial fibrillation detection in iECG and Holter monitoring during the in‐hospital phase and characteristics of modeled population (ie, age, sex, CHA2DS2‐VASc) were informed by patient‐level data. Costs related to recurrent stroke, stroke management, medications (new oral anticoagulants), and rehabilitation were included. The cost‐effectiveness analysis outcome was calculated as an incremental cost per quality‐adjusted life‐year gained. As results, monitoring patients with iECG post‐stroke during the index hospitalization was associated with marginally higher costs (A$31 196) and greater benefits (6.70 quality‐adjusted life‐years) compared with 24‐hour Holter surveillance (A$31 095 and 6.66 quality‐adjusted life‐years) over a 20‐year time horizon, with an incremental cost‐effectiveness ratio of $3013/ quality‐adjusted life‐years. Monitoring patients with iECG also contributed to lower recurrence of stroke and stroke‐related deaths (140 recurrent strokes and 20 deaths avoided per 10 000 patients). The probabilistic sensitivity analyses suggested iECG is highly likely to be a cost‐effective intervention (100% probability). CONCLUSIONS: A nurse‐led iECG monitoring protocol during the acute hospital stay was found to improve the rate of atrial fibrillation detection and contributed to slightly increased costs and improved health outcomes. Using iECG to monitor patients post‐stroke during initial hospitalization is recommended to complement routine care.
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spelling pubmed-92384702022-06-30 Cost‐Effectiveness of Monitoring Patients Post‐Stroke With Mobile ECG During the Hospital Stay Gao, Lan Moodie, Marj Freedman, Ben Lam, Christina Tu, Hans Swift, Corey Ma, Sze‐Ho Mok, Vincent C. T. Sui, Yi Sharpe, David Ghia, Darshan Jannes, Jim Davis, Stephen Liu, Xinfeng Yan, Bernard J Am Heart Assoc Original Research BACKGROUND: The effectiveness of a nurse‐led in‐hospital monitoring protocol with mobile ECG (iECG) was investigated for detecting atrial fibrillation in patients post‐ischemic stroke or post‐transient ischemic attack. The study aimed to assess the cost‐effectiveness of using iECG during the initial hospital stay compared with standard 24‐hour Holter monitoring. METHODS AND RESULTS: A Markov microsimulation model was constructed to simulate the lifetime health outcomes and costs. The rate of atrial fibrillation detection in iECG and Holter monitoring during the in‐hospital phase and characteristics of modeled population (ie, age, sex, CHA2DS2‐VASc) were informed by patient‐level data. Costs related to recurrent stroke, stroke management, medications (new oral anticoagulants), and rehabilitation were included. The cost‐effectiveness analysis outcome was calculated as an incremental cost per quality‐adjusted life‐year gained. As results, monitoring patients with iECG post‐stroke during the index hospitalization was associated with marginally higher costs (A$31 196) and greater benefits (6.70 quality‐adjusted life‐years) compared with 24‐hour Holter surveillance (A$31 095 and 6.66 quality‐adjusted life‐years) over a 20‐year time horizon, with an incremental cost‐effectiveness ratio of $3013/ quality‐adjusted life‐years. Monitoring patients with iECG also contributed to lower recurrence of stroke and stroke‐related deaths (140 recurrent strokes and 20 deaths avoided per 10 000 patients). The probabilistic sensitivity analyses suggested iECG is highly likely to be a cost‐effective intervention (100% probability). CONCLUSIONS: A nurse‐led iECG monitoring protocol during the acute hospital stay was found to improve the rate of atrial fibrillation detection and contributed to slightly increased costs and improved health outcomes. Using iECG to monitor patients post‐stroke during initial hospitalization is recommended to complement routine care. John Wiley and Sons Inc. 2022-04-12 /pmc/articles/PMC9238470/ /pubmed/35411782 http://dx.doi.org/10.1161/JAHA.121.022735 Text en © 2022 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Gao, Lan
Moodie, Marj
Freedman, Ben
Lam, Christina
Tu, Hans
Swift, Corey
Ma, Sze‐Ho
Mok, Vincent C. T.
Sui, Yi
Sharpe, David
Ghia, Darshan
Jannes, Jim
Davis, Stephen
Liu, Xinfeng
Yan, Bernard
Cost‐Effectiveness of Monitoring Patients Post‐Stroke With Mobile ECG During the Hospital Stay
title Cost‐Effectiveness of Monitoring Patients Post‐Stroke With Mobile ECG During the Hospital Stay
title_full Cost‐Effectiveness of Monitoring Patients Post‐Stroke With Mobile ECG During the Hospital Stay
title_fullStr Cost‐Effectiveness of Monitoring Patients Post‐Stroke With Mobile ECG During the Hospital Stay
title_full_unstemmed Cost‐Effectiveness of Monitoring Patients Post‐Stroke With Mobile ECG During the Hospital Stay
title_short Cost‐Effectiveness of Monitoring Patients Post‐Stroke With Mobile ECG During the Hospital Stay
title_sort cost‐effectiveness of monitoring patients post‐stroke with mobile ecg during the hospital stay
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238470/
https://www.ncbi.nlm.nih.gov/pubmed/35411782
http://dx.doi.org/10.1161/JAHA.121.022735
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